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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 16465
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    INDEX
    Explanations

    mentions of shocking or intense events

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of chaotic or alarming events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Patreon
    -0.77
     Cosponsors
    -0.74
    20439
    -0.74
     Consortium
    -0.73
     Lessons
    -0.72
    ãĤ´ãĥ³
    -0.71
     fortnight
    -0.69
     Achieve
    -0.66
    idious
    -0.66
     Useful
    -0.65
    POSITIVE LOGITS
     screaming
    1.12
     screams
    1.09
     screamed
    1.02
     scream
    1.02
     yelling
    1.00
     gunshots
    1.00
     panicked
    0.96
     bleeding
    0.95
     yelled
    0.94
     ambul
    0.93
    Activations Density 0.429%

    No Known Activations